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Journal articles on the topic 'Geriatric Depression Scale'

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Published: 4 June 2021
Last updated: 3 February 2022

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1

Morrow, Shari. "Geriatric Depression Scale." American Journal of Nursing 99, no. 1 (January 1999): 24DD. http://dx.doi.org/10.1097/00000446-199901000-00027.

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2

Aikman, Grace G., and Mary E. Oehlert. "Geriatric Depression Scale." Clinical Gerontologist 22, no. 3-4 (March 21, 2001): 63–70. http://dx.doi.org/10.1300/j018v22n03_07.

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3

Kurlowicz, Lenore. "The geriatric depression scale." Home Care Provider 5, no. 2 (April 2000): 76–77. http://dx.doi.org/10.1016/s1084-628x(00)90061-3.

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4

Finkelman, Anita W. "The geriatric depression scale." Home Care Provider 5, no. 2 (April 2000): 0076–77. http://dx.doi.org/10.1067/mhc.2000.hc0050076.

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5

Brink, T. L., and Louise Niemeyer. "Assessment of Depression in College Students: Geriatric Depression Scale versus Center for Epidemiological Studies Depression Scale." Psychological Reports 71, no. 1 (August 1992): 163–66. http://dx.doi.org/10.2466/pr0.1992.71.1.163.

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103 college students took the Geriatric Depression Scale and Center for Epidemiological Studies Depression Scale along with five measures of life satisfaction. The correlation between scores on the first scales was .66. Both depression scales had moderate negative correlations (−.34 to −.71) with each measure of life satisfaction. However, on every measure of life satisfaction, the correlation with scores on the Geriatric Depression Scale was higher than with those on the CES-Depression Scale.
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6

Heidenblut, Sonja, and Susanne Zank. "Screening for Depression with the Depression in Old Age Scale (DIA-S) and the Geriatric Depression Scale (GDS15)." GeroPsych 27, no. 1 (January 2014): 41–49. http://dx.doi.org/10.1024/1662-9647/a000101.

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Purpose of the study. The Depression in Old Age Scale (DIA-S), a new screening tool for geriatric depression, was designed to be both practical and appropriate for use with medically ill geriatric patients. The diagnostic accuracy of the DIA-S and the short form of the Geriatric Depression Scale (GDS15) were tested and compared. Methods. Using the Montgomery and Asberg Depression Rating Scale (MADRS) as gold standard, the scales were validated with a sample of N = 331 geriatric inpatients. Results. ROC curves, AUC outcomes, sensitivity and specificity, and logistic regression models for impact factors on misclassification rates indicate good psychometrical qualities of the DIA-S, whereas the validity of the GDS15 was lower.
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7

Nelson, Christian J., Christina Cho, Alexandra R. Berk, Jimmie Holland, and Andrew J. Roth. "Are Gold Standard Depression Measures Appropriate for Use in Geriatric Cancer Patients? A Systematic Evaluation of Self-Report Depression Instruments Used With Geriatric, Cancer, and Geriatric Cancer Samples." Journal of Clinical Oncology 28, no. 2 (January 10, 2010): 348–56. http://dx.doi.org/10.1200/jco.2009.23.0201.

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Purpose Geriatric issues in cancer are becoming prominent. Depression is a significant concern for both the elderly and patients with cancer, yet identifying depression in these patients is difficult and often leads to under-recognition. We conducted a systematic review to determine which depression instruments are appropriate for use in geriatric patients with cancer. Methods We identified the most commonly used self-report depression instruments. We then used the criteria established in the US Food and Drug Administration Draft Guidance on Patient-Reported Outcome Measures to determine the extent of validation evidence of these measures in geriatric cancer populations. Finally, we determined which instruments captured depressive symptoms that are common among elderly patients with cancer. Results Eight measures were selected as the most commonly used instruments. These were the Beck Depression Inventory-II, Brief Symptom Inventory-18, Center for Epidemiologic Studies–Depression Scale, Geriatric Depression Scale-15, Hospital Anxiety and Depression Scale, Patient Health Questionnaire-9, Profile of Mood States–Short Form, and Zung Self-Rating Depression Scale. Many have been validated for use with geriatric adults and patients with cancer; however, data addressing content validity and responder definition were lacking. To date, there is no validation information for geriatric patients with cancer. Furthermore, symptom profile analysis revealed that these measures do not identify many symptoms signaling depression in geriatric patients with cancer. Conclusion The validation evidence for use of common depression instruments in geriatric patients with cancer is lacking. This, and the possibility that these measures may not assess common depressive symptoms in geriatric patients with cancer, questions the adequacy of these scales in this population.
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8

Cooke, Stephen C., and Melissa L. Tucker. "Geriatric Depression." Journal of Pharmacy Practice 14, no. 6 (December 2001): 498–510. http://dx.doi.org/10.1177/089719001129040991.

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Depression in the elderly is more common than once thought, especially in nursing home settings, where as many as 25% of residents can exhibit signs and symptoms of depression. Depression in the elderly can have a significant impact on overall health and desired outcome. The depressed elderly patient has been shown to have worsened prognosis of concomitant medical conditions, increased use of health care, decreased recovery time, and more likelihood to experience accelerated physical deterioration. Suicide represents the most serious complication of depression of the older depressed individual. The elderly are at a disproportionate risk for suicide attempts and are more likely to be successful. Diagnosis should be made using Diagnostic and Statistical Manual of Mental Disorders(4th ed.) (DSMIV) criteria, and clinicians should use standardized rating scales such as the Geriatric Depression Scale to assist in monitoring the severity of depressive symptoms and the efficacy of antidepressant treatment. Several treatment options are available to the clinician and include psychotherapy, electroconvulsive therapy, older antidepressants such as the tricyclics, and newer more tolerable therapies such as the serotonin reuptake inhibitors. Drug therapy should be individualized and should take into account the pharmacokinetic and pharmacodynamic changes that are associated with normal aging.
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9

Kurlowicz, Lenore. "The Geriatric Depression Scale (GDS)." Journal of Gerontological Nursing 25, no. 7 (July 1, 1999): 8–9. http://dx.doi.org/10.3928/0098-9134-19990701-09.

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10

Kurlowicz, L. "The geriatric depression scale (GDS)." Insight - the Journal of the American Society of Ophthalmic Registered Nurses 25, no. 1 (March 2000): 18–19. http://dx.doi.org/10.1016/s1060-135x(00)90035-6.

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11

Kurlowicz, Lenore, and Sherry A. Greenberg. "The Geriatric Depression Scale (GDS)." AJN, American Journal of Nursing 107, no. 10 (October 2007): 67–68. http://dx.doi.org/10.1097/01.naj.0000292207.37066.2f.

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12

&NA;. "The Geriatric Depression Scale (GDS)." AJN, American Journal of Nursing 107, no. 10 (October 2007): 69–70. http://dx.doi.org/10.1097/01.naj.0000292208.75183.2a.

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13

Yesavage, Jerome A., and Javaid I. Sheikh. "9/Geriatric Depression Scale (GDS)." Clinical Gerontologist 5, no. 1-2 (November 18, 1986): 165–73. http://dx.doi.org/10.1300/j018v05n01_09.

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14

Ingraham, Fred. "The Short Geriatric Depression Scale." Clinical Gerontologist 16, no. 3 (May 20, 1996): 49–56. http://dx.doi.org/10.1300/j018v16n03_06.

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15

Hager, K., M. Brecht, and O. Krause. "THE GERIATRIC DEPRESSION SCALE (GDS) IN GERIATRIC REHABILITATION." Innovation in Aging 1, suppl_1 (June 30, 2017): 226. http://dx.doi.org/10.1093/geroni/igx004.844.

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16

Benedetti, Andrea, Yin Wu, Brooke Levis, Machelle Wilchesky, Jill Boruff, John P. A. Ioannidis, Scott B. Patten, et al. "Diagnostic accuracy of the Geriatric Depression Scale-30, Geriatric Depression Scale-15, Geriatric Depression Scale-5 and Geriatric Depression Scale-4 for detecting major depression: protocol for a systematic review and individual participant data meta-analysis." BMJ Open 8, no. 12 (December 2018): e026598. http://dx.doi.org/10.1136/bmjopen-2018-026598.

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IntroductionThe 30-item Geriatric Depression Scale (GDS-30) and the shorter GDS-15, GDS-5 and GDS-4 are recommended as depression screening tools for elderly individuals. Existing meta-analyses on the diagnostic accuracy of the GDS have not been able to conduct subgroup analyses, have included patients already identified as depressed who would not be screened in practice and have not accounted for possible bias due to selective reporting of results from only better-performing cut-offs in primary studies. Individual participant data meta-analysis (IPDMA), which involves a standard systematic review, then a synthesis of individual participant data, rather than summary results, could address these limitations. The objective of our IPDMA is to generate accuracy estimates to detect major depression for all possible cut-offs of each version of the GDS among studies using different reference standards, separately and among participant subgroups based on age, sex, dementia diagnosis and care settings. In addition, we will use a modelling approach to generate individual participant probabilities for major depression based on GDS scores (rather than a dichotomous cut-off) and participant characteristics (eg, sex, age, dementia status, care setting).Methods and analysisIndividual participant data comparing GDS scores to a major depression diagnosis based on a validated structured or semistructured diagnostic interview will be sought via a systematic review. Data sources will include Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Bivariate random-effects models will be used to estimate diagnostic accuracy parameters for each cut-off of the different versions of the GDS. Prespecified subgroup analyses will be conducted. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool.Ethics and disseminationThe findings of this study will be of interest to stakeholders involved in research, clinical practice and policy.PROSPERO registration numberCRD42018104329.
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17

Lichtenberg, Peter A., David A. Steiner, Bernice A. Marcopulos, and Jeanne A. Tabscott. "Comparison of the Hamilton Depression Rating Scale and the Geriatric Depression Scale: Detection of Depression in Dementia Patients." Psychological Reports 70, no. 2 (April 1992): 515–21. http://dx.doi.org/10.2466/pr0.1992.70.2.515.

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The present longitudinal prospective study compared results from the Geriatric Depression Scale with those from the Hamilton Depression Rating Scale for 30 dementia patients. The criterion measure was presence of depression as indicated by the psychiatric diagnosis. The psychiatrist and physician's assistant made the Hamilton ratings while the psychology staff administered the Geriatric Depression Scale. The two measures were statistically unrelated from Times 1 and 2 ( rs = .26 and .41). Eleven (37%) patients were depressed and nine received antidepressant medications. Sensitivity ratings were 82% and 9%, respectively, and specificity ratings were 88% and 92%, respectively. Possible explanations for the success of the Geriatric Depression Scale and lack of success of the Hamilton ratings in detecting depression in this population are discussed.
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18

Tamkin, Arthur S., Leon A. Hyer, and Mary F. Carson. "Comparison among Four Measures of Depression in Younger and Older Alcoholics." Psychological Reports 59, no. 1 (August 1986): 287–93. http://dx.doi.org/10.2466/pr0.1986.59.1.287.

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Two hypotheses were tested: (1) The Geriatric Depression Scale (GDS) would be less affected by age in an older alcoholic group than in a younger one. (2) In comparison with other depression scales—Beck Depression Inventory, Depression Scale of MMPI, and Dysthymic Scale of Millon Clinical Multiaxial Inventory—the Geriatric Depression Scale would be the one least affected by age in the older group. To test these hypotheses two groups were formed, containing 36 and 37 subjects, whose mean ages were 32.50 and 53.98 yr. All subjects were administered the four depression scales and tests of cognitive function. The results confirmed the first hypothesis as r was .32 between age and the Geriatric Depression Scale for the younger group and .03 for the older group. The second hypothesis was not confirmed. All four depression scales correlated nonsignificantly with age in the older group. The use of the depression scales for all ages was supported and discussed.
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19

Snowdon, John. "Validity of the Geriatric Depression Scale." Journal of the American Geriatrics Society 38, no. 6 (June 1990): 722–23. http://dx.doi.org/10.1111/j.1532-5415.1990.tb01438.x.

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20

Parmelee, Patricia A., and Ira R. Katz. "Geriatric Depression Scale;To the Editor:." Journal of the American Geriatrics Society 38, no. 12 (December 1990): 1379. http://dx.doi.org/10.1111/j.1532-5415.1990.tb03461.x.

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21

MPT, Anil R. Muragod. "Screening for Depression in Old Age Home and Home Environment Using Geriatric Depression Scale Zung Self-Rating Depression Scale Modified Kuppuswamy’s Socio-Economic Status Scale : An Observational Study." Journal of Medical Science And clinical Research 05, no. 06 (June 16, 2017): 23424–29. http://dx.doi.org/10.18535/jmscr/v5i6.104.

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22

Iglesias, Gail Herbert. "Geriatric Depression Scale Short Form and Zung Self-Rating Depression Scale." Clinical Gerontologist 27, no. 3 (February 2, 2004): 55–66. http://dx.doi.org/10.1300/j018v27n03_05.

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23

Yesavage, Jerome A. "Geriatric Depression Scale: Consistency of Depressive Symptoms over Time." Perceptual and Motor Skills 73, no. 3 (December 1991): 1032. http://dx.doi.org/10.2466/pms.1991.73.3.1032.

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The following is a comment on the importance of the 1991 finding by I. L. Abraham of the unchanging nature of depressive symptoms over time: one concludes that such patients will not change unless major interventions, both pharmacologic or psychosocial, can be made.
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24

Matias, Amanda Gilvani Cordeiro, Marília de Andrade Fonsêca, Maria de Lourdes de Freitas Gomes, and Marcos Antonio Almeida Matos. "Indicators of depression in elderly and different screening methods." Einstein (São Paulo) 14, no. 1 (March 2016): 6–11. http://dx.doi.org/10.1590/s1679-45082016ao3447.

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ABSTRACT Objective To determine the prevalence of depressive symptoms among elderly and correlate the agreement between the screening methods used. Methods A cross-section study of 137 elderly attending the Programa Vivendo a Terceira Idade [Living for the Elderly Program]. Depressive symptoms were screened by the Patient Health Questionnaire-9 and the 15-item Geriatric Depression Scale, by Yesavage. Cohen´s kappa analyzed the degree of agreement of these scales. Results The prevalence of depressive symptoms screened by the Patient Health Questionnaire-9 was 62.8% and, by the Geriatric Depression Scale, 52.6%. The Spearman correlation between the results of scales obtained rho=0.387, p<0.000. The Kappa reliability coefficient was 0.41 and significance level of p<0.001. The screening methods showed sensitivity of 80% and specificity of 44%. Conclusion Both scales showed moderate agreement and were useful for detecting a relevant prevalence of the target outcome of depression among the elderly.
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Syed, Hussain, and Gregory Swanwick. "Does the geriatric depression scale have utility for measuring depression severity?" International Psychogeriatrics 29, no. 5 (January 9, 2017): 873–74. http://dx.doi.org/10.1017/s1041610216001575.

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The prevalence of major depression ranges from 1% to 16% among elderly living in private households or in institutions, and in similar settings “patients” with clinically relevant depressive symptoms vary between 7.2% and 49% (Djernes, 2006). Community studies looking at point prevalence of depression in older people suggest rates between 10% and 20% depending on cultural situations (Rodda et al., 2011).
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26

Apóstolo, João, Luís Loureiro, Ivo Reis, Inês Silva, Daniela Cardoso, and Raluca Sfetcu. "Contribution to the adaptation of the Geriatric Depression Scale -15 into portuguese." Revista de Enfermagem Referência IV Série, no. 3 (December 12, 2014): 65–73. http://dx.doi.org/10.12707/riv14033.

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27

Risal, Ajay, Eliza Giri, Oshin Shrestha, Sabina Manandhar, Dipak Kunwar, Richa Amatya, Nirmala Manandhar, Kedar Manandhar, and Are Holen. "Nepali Version of Geriatric Depression Scale-15 – A Reliability and Validation Study." Journal of Nepal Health Research Council 17, no. 4 (January 21, 2020): 506–11. http://dx.doi.org/10.33314/jnhrc.v17i4.1984.

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Background: Geriatric depression is a significant problem in both the developed and the developing world. To identify this condition, Geriatric Depression Scale has been used in different languages and cultural settings; it has proved to be a reliable and valid instrument. However, the Geriatric Depression Scale-15 version in Nepali has so far not been validated.Methods: The original 15-item version of the Geriatric Depression Scale-15 was translated into Nepali and administered by trained nurses to a target sample aged ?60 years at Dhulikhel Hospital (n=106). Subsequently, the participants were blindly interviewed by a consultant psychiatrist for possible geriatric depression according to the ICD-10 criteria. Cronbach’s alpha checked the reliability. Validity was assessed for three different cut-off points (4/5, 5/6, and 6/7); the related sensitivity, specificity, positive predictive value, and the negative predictive value of the scale were estimated.Results: The mean participant age was 68.1 (±7.2); males and females, 50.9% and 49.1%, respectively. Cronbach’s alpha was 0.79.The optimal cut-off point was found to be 5/6 with sensitivity and specificity 86.3% and 74.5%, respectively. Conclusions: Using a standard statistical protocol, a reliable and valid Geriatric Depression Scale-15-Nepali was developed with an adequate internal consistency and an optimal balance between sensitivity and specificity at cut-off point 5/6.The Geriatric Depression Scale-15-Nepali can serve as an appropriate instrument for assessing geriatric depression in epidemiological research as well as in primary health care settings in Nepal.Keywords: Geriatric depression; internal consistency; sensitivity; South Asia; specificity.
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28

Crawford, Gregory B., and Julie A. Robinson. "The geriatric depression scale in palliative care." Palliative and Supportive Care 6, no. 3 (July 28, 2008): 213–23. http://dx.doi.org/10.1017/s1478951508000357.

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ABSTRACTObjective:This research examined the psychometric properties of previously published short forms of the Geriatric Depression Scale (GDS) in patients receiving palliative care. It also uses the full form of the GDS to examine the prevalence of nonsomatic symptoms of depression in palliative patients.Method:Participants were 84 patients with advanced cancer attending palliative care outpatient clinics. Scores for short forms of the GDS were derived from administering the original 30-item scale. Patients also completed the single item numerical analogue scale for depression from the Edmonton Symptom Assessment System and parallel numerical analogue scales for will-to-live and hope. A subset of the sample completed the measures twice. Short forms were judged on the extent to which they captured information gained from the full scale and their internal consistency, test–retest reliability, convergent and concurrent validity, and their distribution of scores.Results:Overall, five short forms showed good psychometric properties at both visits. Two of these forms were very brief. Some nonsomatic symptoms assessed on the full GDS were reported with high frequency. However, few individuals reported a large number of symptoms. At both visits, patients identified as likely to have severe depression gave different responses from other patients on most items on the GDS-30.Significance of results:Several short forms of the GDS may be appropriate for use in palliative care. Patients identified as likely to have severe depression showed many of the same symptoms that characterise depression in other geriatric populations.
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29

Abolfotouh, M. A., A. A. Daffallah, M. Y. Khan, M. S. Khattab, and I. Abdulmoneim. "Psychosocial assessment of geriatric subjects in Abha City, Saudi Arabia." Eastern Mediterranean Health Journal 7, no. 3 (September 15, 2001): 481–91. http://dx.doi.org/10.26719/2001.7.3.481.

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Psychosocial assessment of geriatric subjects was carried out through a home-based survey of people aged 65 years and over [n = 810] in the catchment areas of 3 primary health care centres. All the participants had a structured interview and were given a short version of the geriatric depression scale. Depression was found in 17.5% of the subjects, more commonly in women [27.7% versus 12.7%]. The combined effect of impaired perceived health status [52.4%] and functional capacity [26.6%], loneliness [4.5%], single status [24.3%], and lack of education [80.5%] explained 23.7% of the variance in depression score by multiple regression analysis. Depression is a problem among the geriatric population in the region, especially women. Periodic home psychosocial screening of geriatrics is recommended.
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30

Mondolo, Federica, Marjan Jahanshahi, Alessia Granà, Emanuele Biasutti, Emanuela Cacciatori, and Paolo Di Benedetto. "The Validity of the Hospital Anxiety and Depression Scale and the Geriatric Depression Scale in Parkinson’s Disease." Behavioural Neurology 17, no. 2 (2006): 109–15. http://dx.doi.org/10.1155/2006/136945.

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We assessed the concurrent validity of the Hospital Anxiety and Depression Scale (HADS) and the Geriatric Depression Scale (GDS) against the Hamilton Rating Scale for Depression (Ham-D) in patients with Parkinson’ disease (PD). Forty-six non-demented PD patients were assessed by a neurologist on the Ham-D. Patients also completed four mood rating scales: the HADS, the GDS, the VAS and the Face Scale. For the HADS and the GDS, Receiver Operating Characteristics (ROC) curves were obtained and the positive and negative predictive values (PPV, NPV) were calculated for different cut-off scores. Maximum discrimination between depressed and non-depressed PD patients was reached at a cut-off score of 10/11 for both the HADS and the GDS. At the same cut-off score of 10/11 for both the HADS and the GDS, the high sensitivity and NPV make these scales appropriate screening instruments for depression in PD. A high specificity and PPV, which is necessary for a diagnostic test, was reached at a cut-off score of 12/13 for the GDS and at a cut-off score of 11/12 for the HADS. The results indicate the validity of using the HADS and the GDS to screen for depressive symptoms and to diagnose depressive illness in PD.
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31

Aslam, Naeem, and Kashfa Mahreen. "ROLE OF URINARY INCONTINENCE IN DEPRESSION AND LIFE SATISFACTION IN GERIATRIC PATIENTS." Pakistan Journal of Public Health 8, no. 4 (January 3, 2019): 185–89. http://dx.doi.org/10.32413/pjph.v8i4.174.

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Background: Urinary incontinence (UI) is a highly prevalent in elderly people. The aim of the study was to see the relationship between urinary incontinence, depression, and life satisfaction in elderly patients. Moreover, it aimed to investigate the predictive role of UI in geriatric depression and life satisfaction in elderly patients. Methods: This was the cross-sectional study. 83 patients (45% male and 55% female) with a mean age of 69 years (51-102 years) were included in this study. Self-report measures were used. Geriatric Depression Scale, Questionnaire for Urinary Incontinence Diagnosis, and life Satisfaction Scale were used for data collection. Results: Results showed that geriatric depression is significantly positively associated with the UI and negatively associated with the Life satisfaction. UI is also negatively associated with Life satisfaction. In addition, age is significantly positively associated with geriatric depression and UI. Duration of illness is significantly positively associated with depression, whereas, education is negatively associated with depression and UI. Regression analysis showed that UI positively predicted the geriatric depression and negatively predicted the life satisfaction. Conclusion: UI positively predicts Geriatric depression and lowers the life satisfaction. Timely assessment and effective management of UI may reduce the depressive symptomatology and enhance life satisfaction. Understanding the associations between these variables can have substantial implications for both clinical work and research in this area.
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32

SHAH, AJIT, ROSEMARY HERBERT, SAMARA LEWIS, RANJINI MAHENDRAN, JOHN PLATT, and BINOY BHATTACHARYYA. "Screening for depression among acutely ill geriatric inpatients with a short geriatric depression scale." Age and Ageing 26, no. 3 (1997): 217–21. http://dx.doi.org/10.1093/ageing/26.3.217.

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SHAH, AJIT, VIRACH PHONGSATHORN, CELIA BIELAWSKA, and CORNELIUS KATONA. "SCREENING FOR DEPRESSION AMONG GERIATRIC INPATIENTS WITH SHORT VERSIONS OF THE GERIATRIC DEPRESSION SCALE." International Journal of Geriatric Psychiatry 11, no. 10 (October 1996): 915–18. http://dx.doi.org/10.1002/(sici)1099-1166(199610)11:10<915::aid-gps411>3.0.co;2-h.

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34

Salamero, M., and T. Marcos. "Factor study of the Geriatric Depression Scale." Acta Psychiatrica Scandinavica 86, no. 4 (October 1992): 283–86. http://dx.doi.org/10.1111/j.1600-0447.1992.tb03267.x.

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35

Brink, T. L. "Proper Scoring of the Geriatric Depression Scale." Journal of the American Geriatrics Society 37, no. 8 (August 1989): 819. http://dx.doi.org/10.1111/j.1532-5415.1989.tb02248.x.

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36

Christensen, Kathy J., and Maurice W. Dysken. "The Geriatric Depression Scale in Alzheimer's Disease." Journal of the American Geriatrics Society 38, no. 6 (June 1990): 724–25. http://dx.doi.org/10.1111/j.1532-5415.1990.tb01442.x.

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37

Asokan, GV, M. Awadhalla, A. Albalushi, S. al-Tamji, Z. Juma, M. Alasfoor, and N. Gayathripriya. "The magnitude and correlates of geriatric depression using Geriatric Depression Scale (GDS-15) – a Bahrain perspective for the WHO 2017 campaign ‘Depression – let’s talk’." Perspectives in Public Health 139, no. 2 (July 11, 2018): 79–87. http://dx.doi.org/10.1177/1757913918787844.

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Aims: Amid no current estimates or correlates of geriatric depression in Bahrain and support WHO campaign 2017 ‘Depression–let’s talk’, we aimed to assess the magnitude of geriatric depression and explore its association with socio-demographic and health characteristics among the Bahrainis. Methods: A cross-sectional survey was carried out among the geriatric Bahrainis attending the 12 community congregations of the ministry of labor and social development in Bahrain, as well as in the community, by a convenient sampling method using a validated, shorter, Arabic version of the Geriatric Depression Scale (GDS-15 items) which is a self-report instrument to screen for clinical depression. Univariate analysis followed by a multivariate ordinal logistic regression was employed to test the associations between socio-demographic and health characteristics for geriatric depression. Results: Of the 517 participants, 85% had the history of illness and polypharmacy. The prevalence of depression was 50.6% with a mean score of 5.23; mild, moderate, and severe depression was 30.8%, 12.4%, and 7.3%, respectively. Among the significant socio-demographic and health characteristics, the ordinal regression showed that lower depressive scores were observed for those currently married, educated, and who had not been hospitalized in the last year, with higher scores for financially dependent/income < BD 200(≈£377). Conclusion: The high prevalence of geriatric depression using the screening tool of GDS-15 demands further diagnostic assessment by mental health professionals. Lower levels of education linked to low income or financial dependency, widowed or separated, and recent hospitalization were the factors associated with depression. We recommend targeted interventions of proactive screening and treatment options, cognitive behavioral therapy, and interpersonal therapy.
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38

BS, Dr Bineetha, Dr Priya Vijayakumar, Dr Sunil K. Senan, and Dr George Paul. "A Study of the Prevalence of Depression in Geriatric Outpatients and Associated Predisposing Factors." International Journal Of Medical Science And Clinical Invention 5, no. 1 (January 18, 2018): 3454–59. http://dx.doi.org/10.18535/ijmsci/v5i1.17.

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Geriatric depression is a major health hazard which may affect upto 15-20% of the geriatric population in the world. This study is being undertaken to estimate the prevalence of depression in the elderly population and to identify the predisposing factors associated with depression. A cross sectional study on patients above 65 years of age attending an outpatient clinic was done. They were screened using the Geriatric Depression Scale (30-point questionnaire). The association between depression and possible predisposing factors was tested using chi-square test. Out of 250 outpatients at the Geriatrics Outpatient Department, 133 patients were diagnosed to have depression, giving a prevalence of 53.2%. Out of these patients, 102 patients (76.69%) were diagnosed to have mild depression and 31 patients (23.31%) were diagnosed to have severe depression. The commonest symptoms associated with depression were anxiety (57.9% patients), sleep disturbances (55.6% patients), irritability (42.9% patients) and somatic symptoms (37.6% patients). The predisposing factors that were significantly associated with depression were female gender, poor level of education, unemployed or retired life, multiple comorbid illnesses, polypharmacy, adverse life events, fincancial crisis in the family and functional impairment.The prevalence of depression was 53.2% in Geriatric patients, and majority of cases were mild depression. Gender, socioeconomic variables, lifestyle and comorbid medical conditions are important predisposing factors to the development of depression in the geriatric population.
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39

Li, Zhicheng, Yun-Hee Jeon, Lee-Fay Low, Lynn Chenoweth, Daniel W. O’Connor, Elizabeth Beattie, and Henry Brodaty. "Validity of the geriatric depression scale and the collateral source version of the geriatric depression scale in nursing homes." International Psychogeriatrics 27, no. 9 (May 20, 2015): 1495–504. http://dx.doi.org/10.1017/s1041610215000721.

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ABSTRACTBackground:Depression is a common psychiatric disorder in older people. The study aimed to examine the screening accuracy of the Geriatric Depression Scale (GDS) and the Collateral Source version of the Geriatric Depression Scale (CS-GDS) in the nursing home setting.Methods:Eighty-eight residents from 14 nursing homes were assessed for depression using the GDS and the CS-GDS, and validated against clinician diagnosed depression using the Semi-structured Clinical Diagnostic Interview for DSM-IV-TR Axis I Disorders (SCID) for residents without dementia and the Provisional Diagnostic Criteria for Depression in Alzheimer Disease (PDCdAD) for those with dementia. The screening performances of five versions of the GDS (30-, 15-, 10-, 8-, and 4-item) and two versions of the CS-GDS (30- and 15-item) were analyzed using receiver operating characteristic (ROC) curves.Results:Among residents without dementia, both the self-rated (AUC = 0.75–0.79) and proxy-rated (AUC = 0.67) GDS variations performed significantly better than chance in screening for depression. However, neither instrument adequately identified depression among residents with dementia (AUC between 0.57 and 0.70). Among the GDS variations, the 4- and 8-item scales had the highest AUC and the optimal cut-offs were >0 and >3, respectively.Conclusions:The validity of the GDS in detecting depression requires a certain level of cognitive functioning. While the CS-GDS is designed to remedy this issue by using an informant, it did not have adequate validity in detecting depression among residents with dementia. Further research is needed on informant selection and other factors that can potentially influence the validity of proxy-based measures in the nursing home setting.
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40

R, Pracheth, Mayur SS, and Chowti JV. "Geriatric Depression Scale: A tool to assess depression in elderly." International Journal of Medical Science and Public Health 2, no. 1 (2013): 31. http://dx.doi.org/10.5455/ijmsph.2013.2.31-35.

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41

Lopez, Francesca V., Molly Split, J. Vincent Filoteo, Irene Litvan, Raeanne C. Moore, Eva Pirogovsky-Turk, Lin Liu, Stephanie Lessig, and Dawn M. Schiehser. "Does the Geriatric Depression Scale measure depression in Parkinson's disease?" International Journal of Geriatric Psychiatry 33, no. 12 (September 25, 2018): 1662–70. http://dx.doi.org/10.1002/gps.4970.

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42

Liang, Ying. "Depression and anxiety among elderly earthquake survivors in China." Journal of Health Psychology 22, no. 14 (April 22, 2016): 1869–79. http://dx.doi.org/10.1177/1359105316639437.

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This study investigated depression and anxiety among Chinese elderly earthquake survivors, addressing relevant correlations. We sampled one earthquake-prone city, utilising the Geriatric Depression Scale and Beck Anxiety Inventory. In addition, explorative factor analysis and structural equation model methods were used. Results indicated elderly earthquake survivors exhibited symptoms of moderate depression and anxiety; depression and anxiety are highly positively correlated. The overlap between these two psychological problems may be due to subjective fear and motoric dimensions; subjective fear and motoric dimensions of Beck Anxiety Inventory are more strongly related to Geriatric Depression Scale domains. The two scales exhibit high reliability and validity.
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43

Trujillo, Catherine Alexandra Andrade, and Dennys Leonardo Abril Merizalde. "Influencia De La Depresión En Las Reservas Proteico-Energéticas Y El Índice De Masa Corporal En Adultos Mayores De 65 Años." European Scientific Journal, ESJ 14, no. 14 (May 31, 2018): 91. http://dx.doi.org/10.19044/esj.2018.v14n14p91.

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The aim of the study was to analyze the influence of depression on the protein-energy reserves and the BodyMass Index in ederly. A total of 65 older adults were evaluated; to identify the level of depression, the Yesavage Geriatric Depression Scale was used, the protein-energy reserves were evaluated from the arm circumference and the Body Mass Index. The elderly with higher levels of depression had lower arm circumference than those who did not show depression according to the scale (p = 0.002 and p = 0.009, men and women respectively), a similar situation occurs with the BMI (p = 0.050 and p = 0.019). There is also a significant negative relationship between the Geriatric Depression Scale with the arm circumference and the BMI in women (r = -0.520, p = 0.002 and r = -0.439, p = 0.009 respectively). In men, this negative relationship is observed only between the Geriatric Depression Scale and the arm circumference (r = -0.479, p = 0.007). Older adults with a higher level of depression have lower arm circumference and lower BMI than those without depression. In both sexes, there is a significant negative relationship between the Geriatric Depression Scale score and the arm circumference. In females, an inversely proportional relationship between the scale and the Body Mass Index is evidenced.
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44

Srivastav, Manissha, Yogita Bavaskar, Ravindra Choudhary, and S. Agrawal. "Prevalence and determinants of depression in geriatric women in an urban slum area of Mumbai suburbs." International Journal Of Community Medicine And Public Health 4, no. 9 (August 23, 2017): 3135. http://dx.doi.org/10.18203/2394-6040.ijcmph20173620.

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Background: Lifespan have increased worldwide. Increasing lifespan has brought in its wake, a host of non-communicable diseases. Worldwide, depression affects more women than men and it is also one of the morbidities amenable to treatment. Due to numerous socio-economic and cultural reasons, geriatric women in India bear the brunt of depressive ailments. Coupled with the lack of economic independence and gender disparity, this affliction and the affected both have remained in the shadows. The objective of the study was to assess the prevalence of depression and to study the association between some determinants of depression among geriatric women.Methods: A community based cross sectional study was conducted among geriatric women in an urban slum area. 336 women were included in the study. Mental health status in geriatric sample was studied by using 30 point geriatric depression scale. Results: Out of 336 total subjects, 171 (50.89%) were suffering from depression out of which 88 (26.19%) were showing mild depression and 83 (24.70%) were suffering from major depression. Marital status, unemployed status, economic dependency, lack of regular exercise, presence of addictions was found to be the risk factors for the depression. Conclusions: There was a high prevalence of depression in elderly women therefore Geriatric counseling and screening centers are to be established at health care institutes.
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BRINK, T. L. "ASSESSMENT OF DEPRESSION IN COLLEGE STUDENTS: GERIATRIC DEPRESSION SCALE VERSUS CENTER FOR EPIDEMIOLOGICAL STUDIES DEPRESSION SCALE." Psychological Reports 71, no. 5 (1992): 163. http://dx.doi.org/10.2466/pr0.71.5.163-166.

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46

Kneebone, Ian I., Chris Fife-Schaw, Nadina B. Lincoln, and Helena Harder. "A study of the validity and the reliability of the Geriatric Anxiety Inventory in screening for anxiety after stroke in older inpatients." Clinical Rehabilitation 30, no. 12 (July 11, 2016): 1220–28. http://dx.doi.org/10.1177/0269215515619661.

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Objectives: To investigate the validity and reliability of the Geriatric Anxiety Inventory in screening for anxiety in older inpatients post-stroke. Design: Longitudinal. Subjects: A total of 81 inpatients with stroke aged 65 years or older were recruited at four centres in England. Main measures: At phase 1 the Geriatric Anxiety Inventory and the Hospital Anxiety and Depression Scale were administered and then the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders 4th edition (phase 2). The Geriatric Anxiety Inventory was repeated a median of seven days later (phase 3). Results: Internal reliability of the Geriatric Anxiety Inventory was high (α = 0.95) and test–retest reliability acceptable ( τB = 0.53). Construct validity was evident relative to the Hospital Anxiety and Depression Scale – Anxiety subscale ( τB = 0.61). At a cut off of 6/7, sensitivity of the Geriatric Anxiety Inventory was 0.88, specificity 0.84, with respect to the Structured Clinical Interview anxiety diagnosis. Hospital Anxiety and Depressions Scale – Anxiety subscale sensitivity was 0.88, specificity 0.54 at the optimum cut off of 5/6. A comparison of the areas under the curve of the Receiver Operating Characteristics for the two instruments indicated that the area under the curve of the Geriatric Anxiety Inventory was significantly larger than that of the Hospital Anxiety and Depressions Scale – Anxiety subscale, supporting its superiority. Conclusions: The Geriatric Anxiety Inventory is an internally consistent, reliable (stable) and valid instrument with acceptable sensitivity and specificity to screen for anxiety in older inpatients with stroke.
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47

Jamison, Christine, and Forrest Scogin. "Development of an Interview-Based Geriatric Depression Rating Scale." International Journal of Aging and Human Development 35, no. 3 (October 1992): 193–204. http://dx.doi.org/10.2190/0803-3fbc-6eb0-ach4.

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The geriatric depression rating scale (GDRS) is a new interview-based depression rating scale designed for use with adults 60 years of age or older. The scale was developed to fill a need for an instrument that would be sensitive to the problems encountered in assessing depression among older adults. The GDRS was designed by using items from the self-report Geriatric Depression Scale (GDS) as topic areas in a structured clinical interview similar to that of the Hamilton Rating Scale for Depression (HRSD). The 35-item rating scale was administered to 68 older individuals with a range of affective disturbance. The scale was found to have internal consistency and split-half reliability comparable to the HRSD and GDS. Concurrent validity, construct validity, external criterion validity, sensitivity, and specificity were all found to be acceptable.
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48

Sheikh, Javaid I., Jerome A. Yesavage, John O. Brooks, Leah Friedman, Peter Gratzinger, Robert D. Hill, Anastasia Zadeik, and Thomas Crook. "Proposed Factor Structure of the Geriatric Depression Scale." International Psychogeriatrics 3, no. 1 (March 1991): 23–28. http://dx.doi.org/10.1017/s1041610291000480.

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The Geriatric Depression Scale (GDS) is commonly used to measure depression in the elderly. However, there have been no reports of the underlying structure of the GDS. To this end, the GDS was administered to 326 community-dwelling elderly subjects, and the data were subjected to a factor analysis. A five-factor solution was selected and, after a varimax rotation, the factors that emerged could be described as: (1) sad mood, (2) lack of energy, (3) positive mood, (4) agitation, and (5) social withdrawal. This solution accounted for 42.9% of the variance. Knowledge of the factor structure should aid both clinicians and researchers in the interpretation of responses on the GDS.
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49

O'Neill, Desmond. "The Geriatric Depression Scale: feasibility of cardbased-administration." Irish Journal of Psychological Medicine 19, no. 3 (September 2002): 102. http://dx.doi.org/10.1017/s0790966700007229.

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50

Brewer, Linda, Roisin Connolly, Danny Smith, and Desmond O'Neill. "The Geriatric Depression Scale: feasibility of cardbased-administration." Irish Journal of Psychological Medicine 19, no. 4 (December 2002): 132. http://dx.doi.org/10.1017/s0790966700007369.

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